IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v18y2017i1p1-13.html
   My bibliography  Save this article

Investment Professionals' Ability to Detect Deception: Accuracy, Bias and Metacognitive Realism

Author

Listed:
  • Maria Hartwig
  • Jason A. Voss
  • Laure Brimbal
  • D. Brian Wallace

Abstract

In the first empirical study on the topic, the authors examined the ability of investment professionals to distinguish between truthful and deceptive statements. A random sample of 154 investment professionals made judgments about a series of truthful and deceptive statements, some of which involved financial fraud. Investment professionals' lie detection accuracy was poor; participants performed no better than would be expected by chance. Accuracy in identifying lies about financial fraud was especially poor. Further, participants displayed poor metacognitive realism when assessing their own performance. The theoretical and practical implications for lie detection in the financial industry are discussed.

Suggested Citation

  • Maria Hartwig & Jason A. Voss & Laure Brimbal & D. Brian Wallace, 2017. "Investment Professionals' Ability to Detect Deception: Accuracy, Bias and Metacognitive Realism," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(1), pages 1-13, January.
    • Handle: RePEc:taf:hbhfxx:v:18:y:2017:i:1:p:1-13
    DOI: 10.1080/15427560.2017.1276069
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2017.1276069
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/15427560.2017.1276069?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Triki, Anis, 2019. "Examining the effect of deception detection decision aids on investors' perceptions of disclosure credibility and willingness to invest," International Journal of Accounting Information Systems, Elsevier, vol. 33(C), pages 1-15.
    2. Rafał Wolski & Monika Bolek & Jerzy Gajdka & Janusz Brzeszczyński & Ali M. Kutan, 2023. "Do investment fund managers behave rationally in the light of central bank communication? Survey evidence from Poland," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 15(5), pages 757-794, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:hbhfxx:v:18:y:2017:i:1:p:1-13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/hbhf .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.